Thunderbirds

GP: 2 | W: 2 | L: 0 | OTL: 0 | P: 4
GF: 12 | GA: 2 | PP%: 50.00% | PK%: 87.50%
GM : Ian Laporte | Morale : 50 | Team Overall : 64
Next Games #54 vs Admirals

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# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Emil Bemstrom0XXX100.006539866972848568726667616867695750660
2Colton Dach0X100.007941776686857965696362646662646850650
3Trey Fix-Wolansky0X100.006338736868908565636766626567684750650
4Aidan McDonough0X100.007241906481867363626066616567684750640
5Olle Lycksell0X100.006235916663868265686764636566684750640
6John Farinacci0X100.007336946572778463716461626564666750640
7Kyle MacLean0X100.007240896476779063736260656166684250640
8Michael Pezzetta0XX100.009278726581707662526361646567684250640
9Angus Crookshank0X100.006638766469878562656163606466685650630
10Joseph Blandisi0X100.006243636471828462706361606271733850630
11Joona Koppanen0X100.008238896192788459636058625767694850630
12Cam Lund0X100.006136896579786164706162636560617750620
13C.J. Smith0X100.006037916169876559686457615871733450610
14Jagger Firkus0X100.006236916164817258636059566261657650600
15Tyce Thompson0X100.006343675872808557585654555766686050590
16Logan Mailloux0X100.007442696786858765306866635462647850670
17Albert Johansson0X100.006638816568838464306356655164666850650
18Kyle Capobianco0X100.007241736483778562306457614968705650650
19Domenick Fensore0X100.006437836064878059305856634964666250620
20Joseph Cecconi0X100.007342745882668557305652554568704850610
21Colton White0X100.006640795975698157305853544668705250600
22Noah Warren0X100.008242805491617053305250584561637450600
Scratches
1Jon-Randall Avon0X100.006036925769788354615556535562644350580
2Keean Washkurak0X100.005840725667728553605455525665664850570
TEAM AVERAGE100.00694181637579806155615960586567565063
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Erik Portillo100.00778379967675777675777665736450760
2Pheonix Copley100.00778176877675777675777673874650760
Scratches
1Cal Petersen100.00758378777473757473757472855250740
2Filip Larsson100.00747672797372747372747367774250720
TEAM AVERAGE100.0076817685757476757476756981515075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Luke Richardson78747680847864CAN5682,500,000$


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Emil BemstromThunderbirds (STL)C/LW/RW23363201282537.50%03819.3512327000000060.00%4000103.1000000101
2Trey Fix-WolanskyThunderbirds (STL)RW21343001566716.67%04020.3011217000010050.00%1600001.9700000011
3Angus CrookshankThunderbirds (STL)LW21232002171114.29%02311.5312328000001066.67%300002.6000000000
4Colton DachThunderbirds (STL)LW22131001141450.00%03819.0401118000090050.00%400001.5800000010
5Logan MaillouxThunderbirds (STL)D2033140212240.00%44422.290222700006000.00%000001.3500000000
6Albert JohanssonThunderbirds (STL)D2022200102010.00%14221.010000100006000.00%000000.9500000000
7Aidan McDonoughThunderbirds (STL)LW22022004273528.57%03819.1310127000001060.00%500001.0500000100
8Joseph CecconiThunderbirds (STL)D2022220523020.00%03819.320111700004000.00%000001.0300000000
9John FarinacciThunderbirds (STL)C21120003442625.00%03216.1311228000000060.87%2300001.2400000000
10Kyle MacLeanThunderbirds (STL)C2022100035170.00%02814.1400000000090054.84%3100001.4100000000
11Colton WhiteThunderbirds (STL)D21121000220050.00%23015.201122700000000.00%000001.3200000000
12Joseph BlandisiThunderbirds (STL)C21011003020050.00%0136.6200000000000050.00%800001.5100000000
13Jagger FirkusThunderbirds (STL)RW2011100000110.00%0136.620000000000000.00%000001.5100000000
14Kyle CapobiancoThunderbirds (STL)D2011220122120.00%14723.920002800008000.00%000000.4200000000
15Michael PezzettaThunderbirds (STL)LW/RW2011140110110.00%12311.7100000000040050.00%200000.8500000000
16Cam LundThunderbirds (STL)C2000000105110.00%12914.7800010000050050.00%400000.0000000000
17Domenick FensoreThunderbirds (STL)D2000240210110.00%23618.090000000002000.00%000000.0000000000
18Olle LycksellThunderbirds (STL)RW2000000101120.00%02412.02000000000000100.00%100000.0000000000
19Noah WarrenThunderbirds (STL)D2000000000000.00%000.120000000000000.00%000000.0000000000
Team Total or Average3812233525180292760245020.00%1258215.336111718820000602056.93%13700101.2000000222
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Erik PortilloThunderbirds (STL)22000.9471.00120002380000.000020000
Team Total or Average22000.9471.00120002380000.000020000


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aidan McDonoughLW251999-11-06No190 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Albert JohanssonD242001-01-04No168 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Angus CrookshankLW251999-10-02No183 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
C.J. SmithLW301994-12-01No184 Lbs5 ft11NoNoNo3UFAPro & Farm500,000$0$0$NoLink
Cal PetersenG301994-10-19No185 Lbs6 ft2NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Cam LundC212004-06-07No195 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Colton DachLW222003-01-04No196 Lbs6 ft4NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Colton WhiteD281997-05-03No187 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Domenick FensoreD242001-09-07No175 Lbs5 ft9NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Emil BemstromC/LW/RW261999-06-01No190 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Erik PortilloG252000-09-03No218 Lbs6 ft6NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Filip LarssonG271998-08-17No194 Lbs6 ft2NoNoNo3UFAPro & Farm300,000$0$0$NoLink
Jagger FirkusRW212004-04-29No153 Lbs5 ft10NoNoNo4ELCPro & Farm900,000$0$0$NoLink
John FarinacciC242001-02-14No197 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jon-Randall AvonC222003-07-04No175 Lbs6 ft0NoNoNo1ELCPro & Farm300,000$0$0$NoLink / NHL Link
Joona KoppanenLW271998-02-25No215 Lbs6 ft5NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Joseph BlandisiC311994-07-18No184 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Joseph CecconiD281997-05-23No210 Lbs6 ft2NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Keean WashkurakC242001-08-16No184 Lbs5 ft10NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Kyle CapobiancoD281997-08-13No198 Lbs6 ft3NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Kyle MacLeanC261999-04-29No194 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Logan MaillouxD222003-04-15No213 Lbs6 ft3NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Michael PezzettaLW/RW271998-03-13No219 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Noah WarrenD212004-07-15No224 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Olle LycksellRW261999-08-24No163 Lbs5 ft10NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Pheonix CopleyG331992-01-18No205 Lbs6 ft4NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Trey Fix-WolanskyRW261999-05-26No191 Lbs5 ft7NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyce ThompsonRW261999-07-12No175 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.68192 Lbs6 ft12.36455,357$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Aidan McDonoughEmil BemstromTrey Fix-Wolansky40122
2Cam LundJohn FarinacciOlle Lycksell30122
3Colton DachKyle MacLeanMichael Pezzetta20122
4Angus CrookshankJoseph BlandisiJagger Firkus10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan MaillouxKyle Capobianco40122
2Albert JohanssonDomenick Fensore30122
3Joseph CecconiColton White20122
4Joseph CecconiKyle Capobianco10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Colton DachTrey Fix-WolanskyAidan McDonough60122
2Angus CrookshankEmil BemstromJohn Farinacci40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joseph CecconiKyle Capobianco60122
2Logan MaillouxColton White40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kyle MacLeanColton Dach60122
2Cam LundMichael Pezzetta40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Logan MaillouxKyle Capobianco60122
2Joseph CecconiAlbert Johansson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kyle MacLean60122Logan MaillouxKyle Capobianco60122
2Colton Dach40122Domenick FensoreJoseph Cecconi40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Trey Fix-WolanskyColton Dach60122
2Emil BemstromAngus Crookshank40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joseph CecconiKyle Capobianco60122
2Albert JohanssonLogan Mailloux40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Colton DachEmil BemstromTrey Fix-WolanskyLogan MaillouxKyle Capobianco
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Colton DachEmil BemstromTrey Fix-WolanskyLogan MaillouxKyle Capobianco
Extra Forwards
Normal PowerPlayPenalty Kill
Colton Dach, Trey Fix-Wolansky, Angus CrookshankColton Dach, Angus CrookshankTrey Fix-Wolansky
Extra Defensemen
Normal PowerPlayPenalty Kill
Kyle Capobianco, Joseph Cecconi, Domenick FensoreKyle CapobiancoKyle Capobianco, Joseph Cecconi
Penalty Shots
Emil Bemstrom, Colton Dach, Trey Fix-Wolansky, Aidan McDonough, Olle Lycksell
Goalie
#1 : Erik Portillo, #2 : Pheonix Copley


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
24W2122335603812182900
All Games
GPWLOTWOTL SOWSOLGFGA
2200000122
Home Games
GPWLOTWOTL SOWSOLGFGA
2200000122
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
200000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
12650.00%8187.50%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
19221903270
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
325459.26%264953.06%203458.82%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
614736122111


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2025-08-157Canucks1Thunderbirds9WBoxScore
6 - 2025-08-2039Admirals1Thunderbirds3WBoxScore
8 - 2025-08-2254Thunderbirds-Admirals-
10 - 2025-08-2468Griffins-Thunderbirds-
12 - 2025-08-2683Thunderbirds-Griffins-
14 - 2025-08-2897Thunderbirds-IceHogs-
16 - 2025-08-30107IceHogs-Thunderbirds-
19 - 2025-09-02133Silver Knights-Thunderbirds-
Trade Deadline --- Trades can’t be done after this day is simulated!
22 - 2025-09-05147Thunderbirds-Canucks-
24 - 2025-09-07160Thunderbirds-Silver Knights-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
3 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 127,500$ 127,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 18 0$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT